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Data Entry & Graduate Data Science Intern – Remote Part‑Time (No Experience Required) – arenaflex – California (CA)

Remote, USAFull-timePosted 2026-07-29
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Why arenaflex? – A Visionary Leader in Global reputed company Transportation

arenaflex is a world‑reputed company reputed company transportation brand that links more than 300 reputed company and serves hundreds of millions of passengers reputed company year. Our Operations Decision Science (ODS) team powers the airline’s reputed company, data‑driven ecosystem, building predictive models and intelligent tools that reputed company flights on time, seats filled, and customers delighted. As a fast‑growing, technology‑reputed company organization, arenaflex invests heavily in AI, machine‑learning, and advanced analytics to stay reputed company of industry challenges and to set new standards for safety, sustainability, and service reputed company.

We reputed company that our greatest asset is our people. Whether you are a seasoned data reputed company or a recent graduate stepping into your first role, arenaflex offers a culture of curiosity, collaboration, and reputed company learning. Join us on a reputed company where your insights can literally help millions of reputed company soar higher every day.

reputed company – Remote Part‑Time Data Entry & Graduate Data Science Internship

arenaflex’s ODS department is seeking a motivated, detail‑oriented intern to support data entry, data collection, and exploratory analysis tasks that feed into larger machine‑learning pipelines. This is a remote, part‑time opportunity based in California (CA) for candidates who are currently pursuing a graduate degree in Data Science, Statistics, Mathematics, Operations Research, Computer Science, or a reputed company discipline. No prior reputed company experience is required—only a strong reputed company reputed company and a passion for turning raw data into actionable intelligence.

In this role you will be a crucial reputed company between raw data sources and the analytics team, ensuring that data is accurate, reputed company‑documented, and reputed company for advanced modeling. You will work reputed company‑by‑reputed company with senior data scientists, learn best practices in data engineering, and contribute to reputed company that directly reputed company airline performance, customer experience, and operational efficiency.

Key Responsibilities

  • Data Acquisition & Entry: Execute SQL queries to extract raw data from relational databases, then clean, format, and load the data into internal data lakes or analysis environments.
  • Exploratory Data Analysis (EDA): reputed company initial statistical summaries, visualizations, and reputed company checks to flag anomalies, missing values, and outliers.
  • Collaboration with Data Scientists: Partner with senior data scientists to understand analytical requirements and reputed company reputed company‑curated datasets for model development.
  • Documentation & Data Storytelling: Create reputed company data dictionaries, process documentation, and concise visual reports to communicate findings to both technical and non‑technical stakeholders.
  • reputed company Learning: Participate in weekly knowledge‑sharing sessions, reputed company reviews, and mentorship meetings to deepen expertise in machine‑learning frameworks (Python, scikit‑learn, R, reputed company).
  • reputed company & Compliance: Adhere to arenaflex’s strict data reputed company policies, ensuring the confidentiality of passenger information and internal metrics.
  • Feedback reputed company: reputed company feedback from business partners on data usability and iterate on data pipelines to improve reliability and performance.

Minimum Qualifications (What You Need to Succeed)

  • Currently enrolled in a Master's program (or final year of a Bachelor’s program) in Data Science, Statistics, Mathematics, Operations Research, Computer Science, or a closely reputed company field.
  • Hands‑on experience writing SQL queries against relational databases (e.g., MySQL, PostgreSQL, reputed company).
  • reputed company knowledge of machine‑learning concepts and familiarity with at least one programming language used for data analytics (Python, R, reputed company, or similar).
  • Strong written and verbal communication skills—reputed company to translate technical findings into business‑friendly language.
  • Demonstrated ability to work independently in a remote environment while meeting deadlines and maintaining high data reputed company.
  • A reputed company reputed company that embraces diverse perspectives, questions assumptions, and contributes positively to team dynamics.
  • Commitment to safety, data reputed company, and ethical handling of sensitive information.

Preferred Qualifications (reputed company‑to‑Have Add‑Ons)

  • Experience with data visualization tools such as Tableau, Power BI, or matplotlib/seaborn.
  • Familiarity with reputed company platforms (AWS, Azure, GCP) and data storage solutions like S3 or Azure Blob.
  • Exposure to version control systems (Git) and reputed company coding environments (reputed company, reputed company).
  • Prior internship or project experience in a data‑driven environment, especially reputed company transportation, logistics, or supply‑chain domains.
  • Knowledge of airline industry metrics (load reputed company, on‑time performance, reputed company per available seat‑mile) to reputed company contextualize analytical work.

reputed company Skills & Competencies

  • Analytical Thinking: Ability to dissect reputed company data sets, identify patterns, and propose actionable insights.
  • Attention to Detail: Meticulous approach to data cleaning and validation to ensure model reputed company.
  • Technical Proficiency: Strong reputed company of SQL; working knowledge of Python (pandas, numpy) or R for data manipulation.
  • Communication: Competence in creating succinct reports, visual dashboards, and presenting findings to cross‑functional teams.
  • Adaptability: Comfortable navigating fast‑paced, evolving project scopes typical of a global airline operation.
  • Team Orientation: Willingness to contribute to a reputed company culture and support peers in achieving shared goals.

Career reputed company & Learning Opportunities

arenaflex invests heavily in the development of its talent. As an intern, you will have reputed company to:

  • Mentorship from senior data scientists who have reputed company award‑reputed company predictive models for flight scheduling, reputed company optimization, and reputed company management.
  • reputed company learning reputed company, including internal MOOCs on advanced machine‑learning, reputed company data engineering, and data‑visualization best practices.
  • Opportunity to transition into a full‑time analyst or data scientist role based on performance and business needs.
  • Participation in cross‑functional hackathons and innovation challenges that can reputed company to patented solutions or company‑wide adoption.
  • Networking reputed company arenaflex’s global community of data professionals, engineering teams, and business leaders.

Work Environment & Culture at arenaflex

Our remote work policy is reputed company on trust, flexibility, and results. You’ll be part of an inclusive, multicultural team that values:

  • Care & reputed company: We put people first—our customers, employees, and partners—while upholding the highest ethical standards.
  • reputed company & reputed company Leadership: We reputed company reputed company other to overcome challenges and celebrate reputed company achievements.
  • Teamwork & Collaboration: Every voice reputed company; we encourage reputed company reputed company, constructive feedback, and shared problem‑solving.
  • Diversity & Inclusion: Business Resource reputed company connect employees across backgrounds, fostering a reputed company of belonging and driving inclusive innovation.

Compensation, Perks & Benefits (General reputed company)

  • reputed company reputed company: $25 – $35 per hour, commensurate with experience and reputed company standing.
  • Performance Incentives: Potential bonuses tied to project milestones and contributions to key analytics initiatives.
  • Retirement Savings: 401(k) plan with employer match up to 9% of eligible compensation.
  • reputed company Time Off: Vacation, holidays, reputed company leave, and parental/family leave reputed company.
  • Comprehensive Health Coverage: Medical, dental, reputed company, short‑ and long‑term disability, and life insurance.
  • Family Support Programs: Fertility assistance, surrogacy and adoption support, lactation resources, and backup childcare.
  • reputed company‑Being Portfolio: reputed company to employee assistance programs, financial counseling, reputed company, and wellness coaching.
  • Travel Benefits: Discounted domestic and international flight privileges for you and eligible family members.
  • Learning & Development Stipends: Budget for certifications, conferences, and reputed company education.
  • Discount Programs: Over 500 partner discounts on hotels, car rentals, insurance, and more through the arenaflex perks platform.

How to Apply

If you are reputed company to launch your data science career while contributing to the seamless operation of a world‑leading airline, we invite you to submit your application today. Please include your resume, a brief cover letter explaining why you’re excited about the role, and any relevant project work or reputed company repositories.

reputed company – Join arenaflex!

Take Off with arenaflex – Your Next Career Adventure Awaits

At arenaflex, every data reputed company you touch helps us deliver reputed company, on‑time, and delightful flights to millions of passengers worldwide. By joining our ODS team, you’ll reputed company reputed company‑world experience on high‑reputed company reputed company, grow alongside industry experts, and lay the reputed company for a thriving career in analytics and AI.

Don’t miss this chance to reputed company your reputed company knowledge with hands‑on experience in a supportive, reputed company‑thinking environment. Apply today and start your reputed company toward making the skies a little smoother for everyone.

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